Spacing Effects in Learning: A Temporal Ridgeline of Optimal Retention
Open accessAbstract
To achieve enduring retention, people must usually study information on multiple occasions. How does the timing of study events affect retention? Prior research has examined this issue only in a spotty fashion, usually with very short time intervals. In a study aimed at characterizing spacing effects over significant durations, more than 1,350 individuals were taught a set of facts and--after a gap of up to 3.5 months--given a review. A final test was administered at a further delay of up to 1 year. At any given test delay, an increase in the interstudy gap at first increased, and then gradually reduced, final test performance. The optimal gap increased as test delay increased. However, when measured as a proportion of test delay, the optimal gap declined from about 20 to 40% of a 1-week test delay to about 5 to 10% of a 1-year test delay. The interaction of gap and test delay implies that many educational practices are highly inefficient.
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Claims the paper makes
3 of 24 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Several studies involving modest time intervals ranging from minutes to days have found that memory at the final test is best for intermediate gap durations.
“Several studies involving modest time intervals ranging from minutes to days have found that memory at the final test is best for intermediate gap durations (e.g., Balota, Duchek, & Paullin, 1989;Glenberg, 1976;Glenberg & Lehmann, 1980;Young, 1966; see Cepeda et al., 2006, for a meta-analysis focused on this point).”
Quote in the paperSubstantial claim1 of 3 sources checked - Interpretationreasoning
Encoding variability and study-phase retrieval theories are potentially consistent with the basic results seen in Figure 3.
“Other distributed practice theories, such as encoding variability (Glenberg, 1979) and study-phase retrieval (Murray, 1983) are potentially consistent with the basic results seen in Figure 3.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Glenberg, 1979 source
- cites Murray, 1983
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
For a fixed amount of study time, the optimal gap provided a 26% increase, d = 1.5, in final recognition as compared to a zero-day gap.
“For a fixed amount of study time, the optimal gap provided a 64% increase, d = 1.1, in final recall, and a 26% increase, d = 1.5, in final recognition, as compared to a zero-day gap”
Quote in the paperSubstantial claim - Findingown data
For 7, 35, 70, and 350 day RIs, percentage improvements in recall for optimal versus zero-day gaps were 10, 59, 111, and 77%, respectively.
“For 7, 35, 70, and 350 day RIs, percentage improvements in recall for optimal versus zeroday gaps were 10, 59, 111, and 77%-t(124) = 6.5, p rep = .99,d = 1.3; t(111) = 8.9, p rep = .99,d = 0.6; t(102) = 8.6, p rep = .99,d = 1.7; t(68) = 3.9, p rep = .99,d = 0.9, respectively.”
Quote in the paperSubstantial claim - Findingown data
At any given retention interval, increasing the inter-study gap first increased and then gradually reduced final test performance.
“At any given retention interval, an increase in the inter-study gap at first increased, and then gradually reduced, test performance.”
- Also stated in: § Results Figure 3 shows the effect of gap on recall and recognition for each of the four different retention intervals, for the subjects who completed all the phases of the study.For each retention interval, final performance always rose initially with increasing gap and then fell as gap was further increased.The effects of gap were very large in magnitude: For a fixed amount of study time, the optimal gap provided a 64% increase, d = 1.1, in final recall, and a 26% increase, d = 1.5, in final recognition, as compared to a zero-day gap (in the present article, d values refer to the comparison of zeroday versus optimal gap).For the RIs of 7, 35, 70, and 350 days, the optimal gaps (of those included in the study) were 1, 11, 21, and 21 days, respectively, for recall data, and 1, 7, 7, and 21 days, respectively, for recognition data.All of these findings are in good agreement with the lab benchmark dataset, which, with its RI of 6 months, lay about where it would be expected to between the RI = 70 and RI = 350 conditionsdespite the fact that the laboratory study fixed session 2 exposure duration and the current study did not.(Both studies provided a fixed number of relearning trials.)For 7, 35, 70, and 350 day RIs, percentage improvements in recall for optimal versus zeroday gaps were 10, 59, 111, and 77%-t(124) = 6.5, p rep = .99,d = 1.3; t(111) = 8.9, p rep = .99,d = 0.6; t(102) = 8.6, p rep = .99,d = 1.7; t(68) = 3.9, p rep = .99,d = 0.9, respectively.For recognition data, percentage improvements for optimal versus zero-day gaps were 1, 10, 31, and 60%-t(124) = 2.3, p rep = .99,d = 0.7; t(136) = 7.5, p rep = .99,d = In Press, Psychological Science Spacing Effects in Learning 5 1.5; t(112) = 8.7, p rep = .99,d = 1.7; t(68) = 7.9, p rep = .99,d = 2.1 for 7, 35, 70, and 350 day RIs, respectively.Estimated optimal gap values rise as retention interval is increased, and these depart noticeably from the fixed ratio of retention interval suggested by some earlier researchers based on much shorter-term studies (Crowder, 1976;Murray, 1983). · boosted
“For each retention interval, final performance always rose initially with increasing gap and then fell as gap was further increased.”
Quote in the paperSubstantial claim - Also stated in: § Results Figure 3 shows the effect of gap on recall and recognition for each of the four different retention intervals, for the subjects who completed all the phases of the study.For each retention interval, final performance always rose initially with increasing gap and then fell as gap was further increased.The effects of gap were very large in magnitude: For a fixed amount of study time, the optimal gap provided a 64% increase, d = 1.1, in final recall, and a 26% increase, d = 1.5, in final recognition, as compared to a zero-day gap (in the present article, d values refer to the comparison of zeroday versus optimal gap).For the RIs of 7, 35, 70, and 350 days, the optimal gaps (of those included in the study) were 1, 11, 21, and 21 days, respectively, for recall data, and 1, 7, 7, and 21 days, respectively, for recognition data.All of these findings are in good agreement with the lab benchmark dataset, which, with its RI of 6 months, lay about where it would be expected to between the RI = 70 and RI = 350 conditionsdespite the fact that the laboratory study fixed session 2 exposure duration and the current study did not.(Both studies provided a fixed number of relearning trials.)For 7, 35, 70, and 350 day RIs, percentage improvements in recall for optimal versus zeroday gaps were 10, 59, 111, and 77%-t(124) = 6.5, p rep = .99,d = 1.3; t(111) = 8.9, p rep = .99,d = 0.6; t(102) = 8.6, p rep = .99,d = 1.7; t(68) = 3.9, p rep = .99,d = 0.9, respectively.For recognition data, percentage improvements for optimal versus zero-day gaps were 1, 10, 31, and 60%-t(124) = 2.3, p rep = .99,d = 0.7; t(136) = 7.5, p rep = .99,d = In Press, Psychological Science Spacing Effects in Learning 5 1.5; t(112) = 8.7, p rep = .99,d = 1.7; t(68) = 7.9, p rep = .99,d = 2.1 for 7, 35, 70, and 350 day RIs, respectively.Estimated optimal gap values rise as retention interval is increased, and these depart noticeably from the fixed ratio of retention interval suggested by some earlier researchers based on much shorter-term studies (Crowder, 1976;Murray, 1983). · boosted
- Findingown data
For 7, 35, 70, and 350 day RIs, percentage improvements in recognition for optimal versus zero-day gaps were 1, 10, 31, and 60%, respectively.
“For recognition data, percentage improvements for optimal versus zero-day gaps were 1, 10, 31, and 60%-t(124) = 2.3, p rep = .99,d = 0.7; t(136) = 7.5, p rep = .99,d = In Press, Psychological Science Spacing Effects in Learning 5 1.5; t(112) = 8.7, p rep = .99,d = 1.7; t(68) = 7.9, p rep = .99,d = 2.1 for 7, 35, 70, and 350 day RIs, respectively.”
Quote in the paperSubstantial claim - Findingown data
For RIs of 7, 35, 70, and 350 days, the optimal gaps for recognition data were 1, 7, 7, and 21 days, respectively.
“For the RIs of 7, 35, 70, and 350 days, the optimal gaps (of those included in the study) were 1, 11, 21, and 21 days, respectively, for recall data, and 1, 7, 7, and 21 days, respectively, for recognition data.”
Quote in the paperSubstantial claim - Findingown data
For RIs of 7, 35, 70, and 350 days, the optimal gaps for recall data were 1, 11, 21, and 21 days, respectively.
“For the RIs of 7, 35, 70, and 350 days, the optimal gaps (of those included in the study) were 1, 11, 21, and 21 days, respectively, for recall data, and 1, 7, 7, and 21 days, respectively, for recognition data.”
Quote in the paperSubstantial claim - Findingown data
For a fixed amount of study time, the optimal gap provided a 64% increase, d = 1.1, in final recall as compared to a zero-day gap.
“For a fixed amount of study time, the optimal gap provided a 64% increase, d = 1.1, in final recall, and a 26% increase, d = 1.5, in final recognition, as compared to a zero-day gap”
Quote in the paperSubstantial claim - Findingown data
Estimated optimal gap values rise as retention interval is increased.
“Estimated optimal gap values rise as retention interval is increased”
Quote in the paperSubstantial claim - Findingown data
As retention interval increases, the optimal gap increases.
“Third, as RI increases, the optimal gap should increase (see Figure 3A), as shown by the direction of the red ridgeline in Figure 4.”
Quote in the paperSubstantial claim - Findingown data
The present results show that the timing of learning sessions can have powerful effects on retention with study time equated.
“The present results show that the timing of learning sessions can have powerful effects on retention with study time equated”
Quote in the paperSubstantial claim - Findingown data
While there are costs to using a gap longer than the optimal value, these costs are much smaller than the costs of using too small a gap value.
“while there are costs to using a gap that is longer than the optimal value, these costs are much smaller than the costs of using too small a gap value, as evidenced by the fact that, as gap increases, accuracy increases steeply and then declines much more gradually (Figure 3).”
Quote in the paperSubstantial claim - Findingnone given
For any retention interval greater than zero, an increase in study gap causes recall to first increase and then decrease.
“Second, for any RI greater than zero, an increase in study gap should cause recall to first increase and then decrease.”
Quote in the paperSubstantial claim - Findingown data
As retention interval increases, the ratio of optimal gap to retention interval declines.
“Fourth, as RI increases, the ratio of optimal gap to RI must decline.”
Quote in the paperSubstantial claim - Findingown data
The authors' own simulations of Pavlik and Anderson's ACT-R model and Raaijmakers's SAM model were not able to fit both the increase in optimal gap as a function of RI and the decrease in gap/RI ratio as a function of increasing RI.
“We have conducted our own simulations of Pavlik and Anderson's ACT-R model and Raaijmaker's SAM model, in order to determine if these models can characterize the ridgeline of optimal retention.We were not able to fit both the increase in optimal gap as a function of RI and the decrease in gap/RI ratio as a function of increasing RI.”
Quote in the paperSubstantial claim - Findingown data
The proportion of subjects whose performance might be termed 'surprisingly good' (85% correct or better on the final test) was 2.6% for the internet sample as compared to 2.1% for comparable gap by RI values in the lab benchmark study.
“The proportion of subjects whose performance might be termed”
Quote in the paperNot a substantial claim - Findingown data
Comparing gap and RI values that were roughly the same in the current study and the benchmark study, average performance on the final test was 41% in the current study and 45% for the benchmark study.
“For example, comparing gap and RI values that were roughly the same in both the current study and the benchmark study, average performance on the final test was 41% in the current study and 45% for the benchmark study.”
Quote in the paperSubstantial claim - Interpretationreasoning
Based on short-term studies, one cannot answer with confidence how much time between study sessions is appropriate to promote learning and retention over substantial time intervals.
“Based on short term studies, one cannot answer with confidence even such basic questions as”
Quote in the paperSubstantial claim - Interpretationreasoning
The fixed performance criterion used in Bahrick studies confounds total study time and spacing gap in favor of greater spacing gaps.
“Another issue in interpreting the Bahrick studies (Bahrick et al., 1993;Bahrick & Phelps, 1987) is the use of a fixed performance criterion.Given the forgetting that takes place during the gap between study sessions, this inevitably means that many more relearning trials will be necessary during most sessions at the longest gap (as compared to the shortest).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationown data
The estimated optimal gap values depart noticeably from the fixed ratio of retention interval suggested by some earlier researchers based on much shorter-term studies.
“and these depart noticeably from the fixed ratio of retention interval suggested by some earlier researchers based on much shorter-term studies (Crowder, 1976;Murray, 1983).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Crowder, 1976
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Murray, 1983
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data
Subjects who completed all three sessions did not show any reliable differences in their initial test performance from those who did not complete the final test.
“but subjects who completed all three sessions did not show any reliable differences in their initial test performance from those who did not complete the final test.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The interaction of gap and test delay implies that many educational practices are likely to be highly inefficient.
“The interaction of gap and test delay implies that many educational practices are likely to be highly inefficient.”
Quote in the paperNot a substantial claim- Rests on an assumption: The 32 obscure trivia facts and object names used in the study are representative of the kinds of information people need to learn and retain in educational settings.
- Interpretationown data
The current study's findings are in good agreement with the lab benchmark dataset, which had an RI of 6 months.
“All of these findings are in good agreement with the lab benchmark dataset, which, with its RI of 6 months, lay about where it would be expected to between the RI = 70 and RI = 350 conditions”
Quote in the paperNot a substantial claim - Interpretationown data
The optimally efficient gap between study sessions is not an absolute quantity that can be recommended, but depends dramatically upon the retention interval.
“The optimally efficient gap between study sessions is not some absolute quantity that can be recommended, but a quantity that depends dramatically upon the retention interval”
Quote in the paperSubstantial claim- Rests on an assumption: The 32 obscure trivia facts and object names used in the study are representative of the kinds of information people need to learn and retain in educational settings.
- Interpretationown data
Recent simulation work in the authors' lab suggests that some recent quantitative theories (Pavlik & Anderson, 2003; Raaijmakers, 2003) may have trouble accounting for the present data.
“Recent simulation work in our lab suggests that some recent quantitative theories (Pavlik & Anderson, 2003;Raaijmakers, 2003) may have trouble accounting for the present data”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Pavlik & Anderson, 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Raaijmakers, 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Mozer et al., 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Based on the current results, compressing learning into a too-short period is likely to produce misleadingly high levels of immediate mastery that will not survive the passage of substantial periods of time.
“Based on the current results, this compression of learning into a too-short period is likely to produce misleadingly high levels of immediate mastery that will not survive the passage of substantial periods of time”
Quote in the paperSubstantial claim- Rests on an assumption: The 32 obscure trivia facts and object names used in the study are representative of the kinds of information people need to learn and retain in educational settings.
- Interpretationown data
If a person wishes to retain information for several years, a delayed review of at least several months seems likely to produce a highly favorable return on a time investment-potentially doubling the amount ultimately remembered, holding study time constant-as compared to less temporally distributed study.
“If a person wishes to retain information for several years, a delayed review of at least several months seems likely to produce a highly favorable return on a time investmentpotentially doubling the amount ultimately remembered, holding study time constant-as compared to less temporally distributed study.”
Quote in the paperSubstantial claim- Rests on an assumption: The 32 obscure trivia facts and object names used in the study are representative of the kinds of information people need to learn and retain in educational settings.
- Interpretationown data
The data provide significant new constraints on theorizing about spacing over meaningful time intervals.
“Whether or not this conclusion stands, it seems likely that the data provide significant new constraints on theorizing about spacing over meaningful time intervals.”
Quote in the paperNot a substantial claim- Rests on an assumption: The 26 gap-by-retention interval combinations adequately sample the retention surface.
- Interpretationreasoning
Theories that attribute effects of gap to a reduced likelihood of information residing in short-term memory, such as most forms of deficient processing theory, do not seem to fit well with the present data.
“Theories that attribute effects of gap to a reduced likelihood of information residing in short-term memory, such as most forms of deficient processing theory (Jacoby, 1978;Rundus, 1971), would not seem to fit well with present data”
Quote in the paperSubstantial claim0 of 2 sources checked- Rests on an assumption: Working memory operates on a time scale of seconds or minutes.
- Interpretationown data
All-or-none theories, in which items are either learned or not learned on any given trial, may be challenged by the present data.
“All-or-none theories (Estes, Hopkins, & Crothers, 1960), in which items are either learned or not learned on any given trial, may also be challenged by the present data.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Estes, Hopkins, & Crothers, 1960 source
- Interpretationown data
Actual experience with internet methods provides little reason to view web-collected data as any less credible than lab-collected data.
“In summary, while it is understandable for researchers to view webcollected data with initial caution, actual experience with these methods provides little reason to view web-collected data as any less credible than lab-collected data.”
Quote in the paperSubstantial claim
- May combine two claims. 9
- Classified as probably not a substantial claim. 6
- The quote only partly states this claim. 1
May combine two claims.
PremisecitationOnly about a dozen of the more than 400 papers in a recent review of distributed practice studies involving verbal recall looked at retention intervals as long as one day, with just a handful examining retention intervals longer than one week.
“A recent review of distributed practice studies involving verbal recall (Cepeda et al., 2006) examined more than 400 papers.However, only about a dozen of these looked at retention intervals as long as one day, with just a handful examining retention intervals longer than one week.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Cepeda et al., 2006 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThe optimal gap value was about 20% of the test delay for delays of a few weeks, falling to about 5% when the delay was one year.
“The optimum gap value was about 20% of the test delay for delays of a few weeks, falling to about 5% when delay was one year.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the fitted function, the optimal gap for RI = 350 equals 23 days, which is just 7% of the RI.
“In Figure 4, for example, the optimal gap for RI = 350 equals 23 days, which is just 7% of the RI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
FindingreasoningFor any gap duration, recall performance declines as a function of retention interval in a negatively accelerated fashion.
“First, for any gap duration, recall performance must decline as a function of RI (i.e., test delay) in a negatively accelerated fashion in order to produce the familiar forgetting curve consistent with more than 100 years of memory findings.”
Quote in the paperNot a substantial claim- Rests on an assumption: The forgetting curve is negatively accelerated (information loss per unit time gradually shrinks).
May combine two claims.
Findingown dataThe results document the existence of enormous and non-monotonic spacing effects that unfold over very long periods of time, with study time equated across conditions.
“The results presented here document the existence of enormous and non-monotonic spacing effects that unfold over very long periods of time, with study time equated across conditions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataExploration of the data indicated that a number of other functions can also provide quite decent fits to the data, and the presented function is not uniquely accurate.
“Exploration of the data indicated that a number of other functions can also provide quite decent fits to the data, with various tradeoffs between interpretability of parameters and simplicity of the function, and we do not contend that this function offers a uniquely accurate characterization of the surface-merely a reasonable one.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenEach subject was randomly assigned to one of the 26 gap-by-retention interval combinations.
“There were 26 gap-by-retention interval combinations, and each subject was randomly assigned to one of these.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThere were no detectable differences between completers and non-completers in age, gender, number of obscure facts known before beginning the study, or a wide array of background and demographic characteristics.
“There were also no detectable differences between the groups in age, gender, number of obscure facts known before beginning the study, or a wide array of background and demographic characteristics.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe current study held constant the number of restudy trials in the second study session, allowing the effect of gap to be examined apart from the amount of time provided for restudy.
“We held constant the number of restudy trials in the second study session, thus allowing us to look at the effect of gap apart from the amount of time provided for restudy.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
PremisecitationIn Bahrick et al. (1993), increasing the inter-study spacing out to 56 days improved performance in acquisition and retention of foreign language vocabulary over several years.
“The results showed that increasing the inter-study spacing out to 56 days improved performance (Figure 2).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bahrick et al., 1993 source
May combine two claims.
PremisecitationIn a preliminary laboratory-based study (Cepeda et al., 2007), recall success for facts and names was best for a 1-month gap, with much worse recall for shorter gaps and slightly poorer recall for longer ones, when final test was 6 months after second learning session.
“The non-monotonic pattern noted in short-term studies was indeed found: Recall success (for both facts and names) was best for a 1-month gap, with much worse recall for shorter gaps and slightly poorer recall for longer ones.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cepeda et al., 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationThe 56-day gap in Bahrick et al. (1993) was a relatively short proportion of the extremely long retention intervals used, and this ratio is probably most critical.
“However, 56 days is actually a relatively short proportion of the extremely long retention intervals used in Bahrick et al.'s study, and it is this ratio that is probably most critical, as will emerge below.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bahrick et al., 1993 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningNon-completion rates increased at the longer delays.
“Non-completion rates increased at the longer delays, as one would expect in any multi-year study (Table 1)”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe reliability and validity of internet data collection has become increasingly clear in recent years.
“As described in the Appendix, the reliability and validity of internet data collection has become increasingly clear in recent years.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Reips, 2002
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Gosling et al., 2004 source
May combine two claims.
PremisecitationThe validity of internet testing has been well supported in recent reviews, with excellent correspondence between results obtained with internet samples and results obtained in the laboratory.
“The validity of internet testing has been well supported in recent reviews (Gosling et al., 2004), with excellent correspondence between results obtained with internet samples are results obtained in the laboratory (e.g., Birnbaum, 1999;Krantz & Dalal, 2000;McGraw, Tew, & Williams, 2000;Reips, 2002).”
Quote in the paperSubstantial claim0 of 3 sources checked
The paper relies on this without support.
The 32 obscure trivia facts and object names used in the study are representative of the kinds of information people need to learn and retain in educational settings.
“Stimuli consisted of 32 obscure but true trivia facts (e.g.,”
The paper relies on this without support.
The forgetting curve is negatively accelerated (information loss per unit time gradually shrinks).
“The amount of information lost per unit of time gradually shrinks, producing the well-known increasingly gradual forgetting curve.”
The paper relies on this without support.
Working memory operates on a time scale of seconds or minutes.
“Working memory operates on a time scale of seconds or minutes, whereas gap effects are seen on a scale of day and weeks (optimal gap is several weeks, for longer retention intervals).”
The paper relies on this without support.
The 26 gap-by-retention interval combinations adequately sample the retention surface.
“To properly characterize the interaction of gap and retention interval, the current study combines various gap and RI values, for a total of 26 different conditions.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The optimal ratio of spacing and retention interval should be 10-30%.
“The optimal ratio of spacing and retention interval should be 10-30%.”
From MASSED TASK REPETITION IS A DOUBLE-EDGED SWORD FOR FLUENCY DEVELOPMENT (2022) · cites this paper as Cepeda et al., 2008
The Discussion (page unavailable) says the ratio of optimal spacing gap to retention interval declines as the retention interval increases; it gives 23 days for a 350-day interval, or 7%. The paper therefore does not recommend a fixed optimal ratio of 10–30% across retention intervals. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredLaboratory research emphasizes that the effect of retention intervals on the distributed practice advantage does not continuously increase as the retention interval increases.
“However, such research also emphasizes that the effect of retention intervals on the distributed practice advantage does not continuously increase as the retention interval increases (Cepeda et al., 2008).”
From The Distributed Practice Effect on Classroom Learning: A Meta-Analytic Review of Applied Research (2025) · cites this paper as Cepeda et al., 2008
The Discussion (page unavailable) reports that the optimal study gap increases as the retention interval increases, while the ratio of optimal gap to retention interval declines. It also describes a non-monotonic effect of the study gap at a given retention interval. These findings show that spacing effects depend on retention interval, but they do not establish the claimed non-monotonic change in the distributed-practice advantage as retention intervals increase. (LLM, conf=0.78)
Experimental — accuracy not yet measuredLearning is not spaced-out in written assessments despite evidence that enduring retention is achieved through substantial gaps in practice.
“There are two issues: (1) learning is not spaced-out despite evidence that enduring retention is achieved through substantial gaps in practice (gaps of months to achieve knowledge lasting years) (Cepeda et al., 2008);”
From Using version control to document genuine effort in written assignments: a protocol with examples for universities (2023) · cites this paper as Cepeda et al., 2008
The Educational Implications section says that studying a topic within a single course week is at odds with the evidence, and that a review delayed by several months is likely to aid retention over several years. It supports the point about insufficient spacing in conventional education, but does not specifically establish that learning is not spaced out in written assessments. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe optimal spacing depends on the retention interval.
“According to cognitive psychologists (Cepeda et al., 2008;Rohrer & Pashler, 2007), the optimal spacing depends on the retention interval (i.e., the timing of delayed posttest).”
From MASSED TASK REPETITION IS A DOUBLE-EDGED SWORD FOR FLUENCY DEVELOPMENT (2022) · cites this paper as Cepeda et al., 2008
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Muñoz, C., Pujadas, G., & Pattemore, A. (2021) · Second language Research · doi:10.1177/02676583211015797 · Cited by 58 · see citing works
Adaptive response-time-based category sequencing in perceptual learning
Mettler, E. W., & Kellman, P. J. (2014) · Vision Research · doi:10.1016/j.visres.2013.12.009 · Cited by 44 · see citing works
MASSED TASK REPETITION IS A DOUBLE-EDGED SWORD FOR FLUENCY DEVELOPMENT
Suzuki, Y., & Hanzawa, K. (2022) · Studies in Second Language Acquisition · doi:10.1017/s0272263121000358 · Cited by 44 · see citing works
- Authors
- Cepeda, N. J., Vul, E., Rohrer, D., Wixted, J. T., & Pashler, H.
- Affiliations
- York University (CA)
- University of California San Diego (US)
- University of South Florida (US)
- Corresponding author
- Pashler, Harold
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2008-11
- Volume
- 19
- Issue
- 11
- Pages
- 1095-1102
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- OpenAlex
- W2169419728
- Cited by
- 631
- References
- 32
- Citations by year
- 2026: 41 · 2025: 54 · 2024: 52 · 2023: 39 · 2022: 51 · 2021: 54 · 2020: 38 · 2019: 49 · 2018: 36 · 2017: 27 · 2016: 25 · 2015: 31 · 2014: 34 · 2013: 25 · 2012: 44
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Locations
- Psychological Science (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Digital Commons - University of South Florida (University of South Florida) (submittedVersion)
- Funders
- National Science Foundation (0542013, 0720375)
- U.S. Department of Education
- Institute of Education Sciences
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- spacing effect, retention, test delay, spaced learning, long-term memory
- MeSH terms
- Adolescent, Adult, Aged, Female, Humans, Learning, Male, Memory, Middle Aged, Retention, Psychology, Space Perception, Time Factors, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-12.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-12.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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